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Data Engineer (all genders)

Gropyus
Germanyfull_timePosted 8 Aug 2026

About the role

<div class="content-intro"><p><strong>About The Company</strong></p> <p>GROPYUS is a technology-based construction company focused on building multi-story residential buildings. Thanks to its prefabricated building system with various design options, industrial offsite construction, and fully digitalized processes, the company manufactures aspirational, sustainable, and affordable homes using timber construction methods. GROPYUS is using scalable construction and manufacturing solutions to tap into a future market, boost Europe's strength in innovation, while also playing a substantial role in improving sustainability.</p></div><div class="job"> <p><span style="text-decoration: underline; font-size: 14pt;"><strong><span data-contrast="none">About The Role</span></strong><span data-ccp-props="{&quot;335559738&quot;:240,&quot;335559739&quot;:240}">&nbsp;</span></span></p> <p>We are growing our Data Platform Team within the Gropyus Tech department. Our Platform team is responsible for features and operating our internal platform, the Gropyus Data Fabric.</p> <p>Our team interacts with experts from various domains such as Digital Building Planning and Automation, Product Operations, Sustainability, AI, IoT, construction engineers, building architects, logistics experts, software engineering; solving complex challenges pertaining to end-to-end process for planning, building, and operating a building.</p> <p><strong>As part of the Data Platform organization, you will:</strong></p> <ul> <li>Design, build, and maintain core data platform components, including ingestion frameworks, transformation pipelines, and data storage layers</li> <li>Own and improve data reliability through monitoring, alerting, SLAs, and data quality checks</li> <li>Collaborate with domain experts and software engineers to understand data needs and deliver high-quality datasets through managed data pipelines</li> <li>Contribute to initiatives to modernize or scale our data ecosystem (including query optimization, schema design, analytics, etc)</li> <li>Adhere to best practices and rigor in development including documentation, testing, and validation</li> </ul> <p><span style="text-decoration: underline;"><span style="font-size: 14pt;"><strong><span data-contrast="none"><br>About You</span></strong><span data-ccp-props="{&quot;335559738&quot;:240,&quot;335559739&quot;:240}">&nbsp;</span></span></span></p> <ul> <li>Experience working with a tech stack similar to: <ul> <li> <ul> <li>Programming languages like Py

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Gropyus

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